Securing AI Data and Applications

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Securing AI Data and Applications

Coursera · Intermediate ·🔐 Cybersecurity ·1mo ago
Secure AI systems and data using enterprise-grade governance, zero-trust architecture, and compliance frameworks. This course teaches you to govern GenAI data safely, implement zero-trust security models, secure applications against evolving threats, and evaluate cloud systems against standards like NIST and SOC 2. You will analyze breach scenarios, design role-based access controls, create infrastructure-as-code policies, and establish secure coding guidelines that prevent vulnerabilities at scale. Build practical skills in incident response, automated policy enforcement, threat modeling, and compliance evaluation. By the end of this course, you will be able to secure AI systems and data confidently, enforce enterprise-grade policies, anticipate and mitigate threats, and demonstrate readiness for senior security roles in AI-driven organizations.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Twitter OSINT & Threat Intelligence: Toolkit for Ethical Hackers & Security Analysts
Use Twitter for OSINT and threat intelligence to enhance security posture ethically and effectively
Medium · Startup
Twitter OSINT & Threat Intelligence: Toolkit for Ethical Hackers & Security Analysts
Learn to leverage Twitter for OSINT and threat intelligence to strengthen security posture
Medium · Cybersecurity
Your Encrypted Laptop Isn’t as Safe as You Think
Encryption alone may not protect your laptop data from theft, understand the limitations and take additional measures
Medium · Cybersecurity
TCP, Firewalls, Port Forwarding & VPNs — How Data Is Sent and Secured
Learn how data is sent and secured over the internet using TCP, firewalls, port forwarding, and VPNs
Medium · Cybersecurity
Up next
Cryptography
Coursera
Watch →